Evidence map›Paper›PMID 38020952›Full record

ReviewBrain circulation

A narrative review of retinal vascular parameters and the applications (Part II): Diagnosis in stroke.

Yuan Gao, Lijun Xu, Ning He, Yuchuan Ding, Wenbo Zhao, Tingting Meng, Ming Li, Jiaqi Wu, Yazeed Haddad, Xuxiang Zhang and 1 more

Open access · diamondAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Brain circulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 2 countries.

Yuan GaoDepartment of Biomedical Engineering, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Lijun XuDepartment of School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China.
Ning HeEngineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.
Yuchuan DingDepartment of Neurosurgery, Wayne State University School of Medicine, Detroit, Michigan, USA.
Wenbo ZhaoDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Tingting MengDepartment of Ophthalmology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ming LiDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Jiaqi WuDepartment of Biomedical Engineering, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Yazeed HaddadDepartment of Neurosurgery, Wayne State University School of Medicine, Detroit, Michigan, USA.
Xuxiang ZhangDepartment of Ophthalmology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xunming JiDepartment of Biomedical Engineering, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Capital Medical University · CNBeihang University · CNWayne State University · USBeijing Tian Tan Hospital · CNXidian University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The retina, as an external extension of the diencephalon, can be directly, noninvasively observed by ocular fundus photography. Therefore, it offers a convenient and feasible mode to study nervous system diseases. Caliber, tortuosity, and fractal dimension, as three commonly used retinal vascular parameters, are not only the reflection of structural changes in the retinal microcirculation but also capture the branching pattern or density changes of the retinal microvascular network. Therefore, it contributes to better reflecting the subclinical pathological changes (e.g., lacunar stroke and small cerebral vascular disease) and predicting the risk of incident stroke and recurrent stroke.

Indexed as

Caliberfractal dimensionretinastroketortuosity

Identifiers

PMID38020952
PMCPMC10679631
OpenAlexW4387066361

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.